Everything you always wanted to know about SEM (structural equations modeling) but were afraid to ask

This article is intended to serve as a primer for structural equations models for the behavioral researcher. The technique is not mysterious—it is a natural extension of factor analysis and regression. The measurement part of a structural equations model is essentially a confirmatory factor analysis, and the structural part of the model is like a regression but vastly more flexible in the types of theoretical models that may be tested. The models and notation are introduced and the syntax is provided to replicate the analyses in the paper. Part II of this article will appear in the next issue of the Journal of Consumer Psychology, and it covers advanced issues, including fit indices, sample size, moderators, longitudinal data, mediation, and so forth.     

Everything you wanted to know about redemptive stories* (*but were afraid to ask)

Life stories organize personal experiences within broad temporal frameworks. Stories that are redemptive in nature progress from negative beginnings to positive endings. Psychologists have become increasingly interested in the tendency for individuals to both understand their lives using story-based principles and evoke redemptive imagery while so doing. Here, I consider the past (foundations), present (extant literature), and future (directions and controversies) of psychology’s redemptive story. Previously, work on redemptive stories has been informed by several theoretical vantages and analytic approaches. Currently, a sizable literature has emerged examining redemptive stories in relation to a number of processes and outcomes. In future, it will be crucial to explore moderations in these relations as well as redemption’s causal nature.